Airflow AWS
Airflow is an open-source platform used for orchestrating, scheduling, and monitoring workflows. It allows you to define complex workflows as Directed Acyclic Graphs (DAGs) and automate the execution of tasks within those workflows. Airflow is highly extensible and widely used for data pipelines, ETL (Extract, Transform, Load) processes, and workflow automation in various industries.
Amazon Web Services (AWS) is a cloud computing platform provided by Amazon, offering a wide range of services for various computing needs. AWS provides a secure, scalable, and cost-effective infrastructure for running applications, storing data, and managing various services.
When it comes to using Airflow with AWS, you can utilize AWS services to complement your workflows, data processing, and other tasks. Some of the popular AWS services used with Airflow are:
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AWS S3: Amazon Simple Storage Service (S3) is an object storage service used to store and retrieve data, making it ideal for storing data that needs to be processed by Airflow workflows.
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AWS Glue: AWS Glue is a fully managed extract, transform, and load (ETL) service that can help prepare and transform data for analysis and processing. You can integrate AWS Glue jobs with your Airflow workflows.
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AWS Redshift: Amazon Redshift is a fully managed data warehouse service. You can use Airflow to schedule data loading into Redshift from various sources and orchestrate data processing workflows.
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AWS EMR: Amazon Elastic MapReduce (EMR) is a cloud-based big data processing service. You can use Airflow to schedule and manage EMR clusters to process large-scale data analysis tasks.
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AWS Lambda: AWS Lambda is a serverless compute service that allows you to run code without managing servers. You can trigger Lambda functions from Airflow workflows for specific tasks or events.
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AWS Batch: AWS Batch is a managed batch processing service. You can use Airflow to schedule and manage AWS Batch jobs for processing large-scale compute workloads.
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AWS Step Functions: AWS Step Functions is a serverless workflow service that allows you to coordinate multiple AWS services as a workflow. You can use Airflow to trigger and manage Step Functions workflows.
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